About the program

Join us as an AI Product Developer intern and work on realworld AI solutions by collaborating with experts and building products that shape the future. This internship offers passionate and driven students the chance to apply their knowledge in Artificial Intelligence, Machine Learning, and Product Development to create innovative solutions while working on the complete product lifecycle from ideation to prototype to production. Interns will gain handson experience with cuttingedge technologies such as Python, TensorFlow, NLP, and Deep Learning, while also participating in mentorship sessions, code reviews, and brainstorming discussions. Designed for selfmotivated and creative individuals, this program will not only enhance technical expertise but also strengthen problemsolving and team collaboration skills, preparing interns for impactful careers in AI.

Perks

Interns will gain the opportunity to work on real-world AI products, from ideation to deployment, under the guidance of experienced mentors and industry experts. They will receive hands-on exposure to advanced technologies such as Python, TensorFlow, NLP, and Deep Learning, while participating in product brainstorming, code reviews, and collaborative development sessions. A recognized internship certificate will be provided upon successful completion, along with career guidance, placement support, and the chance to build an impressive portfolio of AI-powered product solutions.

Who can apply?

Only those candidates can apply who:

1. are from B.Tech. / B.E./ Equivalent
2. and specialisation from Computer and information Science
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

The internship is a structured full-time program that requires active participation in all training sessions, development activities, and team collaborations. Interns are expected to maintain a minimum of 75% attendance and complete assignments, coding tasks, and product deliverables on time. Regular progress evaluations will be conducted to ensure consistent learning and contribution.

Number of openings

10